基于恒虚警检测的汽车主动防撞毫米波雷达信号处理算法

摘要

In order to improve the vehicle safety performance, a signal processing algorithm for active anti-collision millimeter wave radar based on time frequency analysis and constant false-alarm rate (CFAR) is proposed. Time-frequency analysis method is firstly used to model the mechanism of frequency modulated carrier wave (FMCW) radars in detecting targets. Then, the design of the signals processing flow is detailed. The CA-CFAR algorithm and the improved algorithm (GO-CFAR) are discussed in detail and verified by simulation experiments and field experiments. The results show that the algorithm has high precision in detecting the speed and distance parameters of the target and computing target in the expressway environment.%为提高车辆的安全性能,提出一种基于时频分析和恒虚警检测(constant false alarm rate,CFAR)的汽车主动防撞毫米波雷达信号处理算法.使用时频分析方法建立连续可调频(frequency modulated carrier wave,FMCW)毫米波雷达探测目标的理论模型,介绍信号处理的算法流程,详细阐述CA-CFAR算法及改进算法(GO-CFAR),并通过仿真实验和外场实验进行分析验证.结果表明,该算法在高速公路环境下探测目标和计算目标的速度与距离参数方面有很高的精度.